Canonical: https://dokima.net/compare/sast/
Updated: 2026-11-04T23:30:51+00:00

Dokima vs conventional SAST

# Rules are good at finding known patterns. Context changes the questions you can ask.

SAST is fast, repeatable and valuable in the development pipeline. Dokima is designed for deeper, codebase-aware review and a smaller set of findings carried through challenge and validation.

Where it works well

## Conventional SAST has a useful job to do.

* Checking large volumes of code quickly and consistently.
* Finding recognised insecure patterns and data flows.
* Giving developers early feedback inside the development pipeline.
* Applying policy and language-specific rules at scale.

Where Dokima differs

## Context and review, not just another pass.

* 01Dokima first builds repository, component and security-assumption context.
* 02Focused hunting stages can reason about intent and behaviour beyond a fixed rule catalogue.
* 03Candidate findings go through peer review, information gathering, validation and deduplication.
* 04The output is organised as a developer-readable security report, not a raw alert stream.

Capability comparison

CapabilityDokimaConventional SAST

**Primary method**Contextual, staged AI source reviewRules, patterns and program analysis

**Speed**Longer, depth-oriented passesFast, frequent feedback

**Codebase context**Persistent repository and component contextVaries; commonly centred on detectable code paths

**Output**Reviewed findings with evidence and remediationMatches and data-flow results to triage

**Determinism**Model-dependent analysis with validation stagesTypically repeatable for the same rules and code

Who Dokima suits

## Teams that already have basic scanning but need more contextual source review without waiting for the next large assessment.

Use them together

## Keep fast SAST checks in the pipeline. Use Dokima for deeper review, security assumptions and findings that need whole-codebase context.

See what Dokima finds

## Put an AI security reviewer to work on your codebase.

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